Yang Gao

According to our database, Yang Gao authored at least 26 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Can Transformers Capture Spatial Relations between Objects?

Chuan Wen, Dinesh Jayaraman, Yang Gao

CoRR, 2024

General Flow as Foundation Affordance for Scalable Robot Learning.

Chengbo Yuan, Chuan Wen, Tong Zhang, Yang Gao

CoRR, 2024

Any-point Trajectory Modeling for Policy Learning.

Chuan Wen, Xingyu Lin, John So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel

CoRR, 2024

2023

Imitation Learning from Observation with Automatic Discount Scheduling.

Yuyang Liu, Weijun Dong, Yingdong Hu, Chuan Wen, Zhao-Heng Yin, Chongjie Zhang, Yang Gao

CoRR, 2023

Seer: Language Instructed Video Prediction with Latent Diffusion Models.

Xianfan Gu, Chuan Wen, Jiaming Song, Yang Gao

CoRR, 2023

Predictive Inference with Feature Conformal Prediction.

Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Decision Transformer under Random Frame Dropping.

Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning.

Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu

CoRR, 2022

USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation.

Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu

CoRR, 2022

Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming.

Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao

Proceedings of the International Conference on Machine Learning, 2022

Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction.

Chia-Chi Chuang, Donglin Yang, Chuan Wen, Yang Gao

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning.

Bernie Wang, Simon Xu, Kurt Keutzer, Yang Gao, Bichen Wu

CoRR, 2021

Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation.

Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Keyframe-Focused Visual Imitation Learning.

Chuan Wen, Jierui Lin, Jianing Qian, Yang Gao, Dinesh Jayaraman

Proceedings of the 38th International Conference on Machine Learning, 2021

Discovering Non-monotonic Autoregressive Orderings with Variational Inference.

Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao

Proceedings of the 9th International Conference on Learning Representations, 2021

Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation.

Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation.

Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fighting Copycat Agents in Behavioral Cloning from Observation Histories.

Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization.

Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell

CoRR, 2019

2018

Reinforcement Learning from Imperfect Demonstrations.

Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Generalized Orderless Pooling Performs Implicit Salient Matching.

Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner

Proceedings of the IEEE International Conference on Computer Vision, 2017

End-to-End Learning of Driving Models from Large-Scale Video Datasets.

Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Proton: A visuo-haptic data acquisition system for robotic learning of surface properties.

Alex Burka, Siyao Hu, Stuart Helgeson, Shweta Krishnan, Yang Gao, Lisa Anne Hendricks, Trevor Darrell, Katherine J. Kuchenbecker

Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Deep learning for tactile understanding from visual and haptic data.

Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Compact Bilinear Pooling.

Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Fine-grained pose prediction, normalization, and recognition.

Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell

CoRR, 2015